MathSciNet is a comprehensive database covering the world's mathematical literature of the past 61 years. It provides Web access to reviews and bibliographic data from Mathematical Review and Current Mathematical Publications. It provides links to original articles and free access to Featured Reviews.
MathSciNet is a comprehensive database covering the world's mathematical literature of the past 61 years. It provides Web access to reviews and bibliographic data from Mathematical Review and Current Mathematical Publications. It provides links to original articles and free access to Featured Reviews.
The Journal of Statistics and Data Science Education (JSDSE) is an open access peer-reviewed journal published by the American Statistical Association.
Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact.